dc.creatorArosemena-Trejos, Davis
dc.creatorCrespo, Sergio
dc.creatorClunie, Clifton
dc.date.accessioned2017-07-28T15:34:50Z
dc.date.accessioned2017-07-28T15:34:50Z
dc.date.available2017-07-28T15:34:50Z
dc.date.available2017-07-28T15:34:50Z
dc.date.created2017-07-28T15:34:50Z
dc.date.created2017-07-28T15:34:50Z
dc.date.issued2012-07-04
dc.date.issued2012-07-04
dc.identifierhttp://ridda2.utp.ac.pa/handle/123456789/1841
dc.identifierhttp://ridda2.utp.ac.pa/handle/123456789/1841
dc.description.abstractThe use of team for teaching programming can be effective in the classroom because it helps students to generate and acquire new knowledge in less time, but these groups to be formed without taking into account some respects, may cause an adverse effect on the teaching-learning process. This paper proposes a tool for the formation of team based on the semantics of source code (SOFORG). This semantics is based on metrics extracted from the preferences, styles and good programming practices. All this is achieved through a static analysis of code that each student develops. In this way, you will have a record of students with the information extracted; it evaluates the best formation of teams in a given course. The team's formations are based on programming styles, skills, pair programming or with leade
dc.languageeng
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectWork team
dc.subjectTeaching programming
dc.subjectProgramming styles
dc.subjectStatic Code analyzer
dc.subjectOntology
dc.subjectWork team
dc.subjectTeaching programming
dc.subjectProgramming styles
dc.subjectStatic Code analyzer
dc.subjectOntology
dc.titleForming Teams for Teaching Programming based on Static Code Analysis
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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